Jyoti Aneja

I am a PhD student at UIUC working with Alex Schwing and also collaborate with David Forsyth . My research interests lie at the intersection of Computer Vision, Deep Learning and Natural Language Processing. I have spent fun Summers at Snap Research, LA, Microsoft Research, Redmond and NVIDIA Research, Santa Clara.

In my (not so) past life, I was a physicist. I have a MS in Physics from UIUC.

E-Mail | CV | Google Scholar | Github | Twitter

Publications
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[NEW] NCP-VAE: Variational Autoencoders with Noise Contrastive Priors
Jyoti Aneja, Alexander Schwing, Jan Kautz, Arash Vahdat
Under Submission
pdf

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Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning
Jyoti Aneja*, Harsh Agrawal*, Dhruv Batra, Alexander Schwing
International Conference on Computer Vision (ICCV), 2019
pdf

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Fast, Diverse and Accurate Image Captioning Guided By Part-of-Speech
Aditya Deshpande*, Jyoti Aneja*, Liwei Wang, Alexander Schwing, David Forsyth
Computer Vision and Pattern Recognition (CVPR), 2019
(Oral presentation)
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Convolutional Image Captioning
Jyoti Aneja*, Aditya Deshpande*, Alexander Schwing
Computer Vision and Pattern Recognition (CVPR), 2018
video(CSL Student Conference-2018) | pdf | code

Affiliations
                       
News
June 2020 Starting Internship at NVIDIA Research, Santa Clara, California.
July 2019 Paper accepted at ICCV 2019.
June 2019 Our Team Schwail came 2nd in the TextVQA Challenge hosted at the VQA Workshop at CVPR 2019.
May 2019 Starting Internship at Microsoft Research, Redmond.
May 2019 Received Student Volunteer Award from CVF for CVPR 2019.
Feb 2019 Paper accepted at CVPR 2019 as oral presentation.
Feb 2019 Session chair, Artificial Intelligence in Action Session at CSL Student Conference 2019.
May 2018 Spending the Summer at Snap Research, LA.
April 2018 Awarded UIUC travel grant to present our paper at CVPR 2018.
Feb 2018 Paper accepted at CVPR 2018.

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